Special Session IV:  “Advances in Machine Learning and Deep Learning: Algorithms, Theory, and Applications in Modern Industrial Systems”

Organized by:
Li Guo, Anhui Polytechnic University
Yujie Zhang, Sichuan University
Xiuli Wang, Zhejiang University of Technology

Introduction:
In recent years, there has been a growing interest in the application of machine learning and deep learning algorithms in various fields, including industrial systems, intelligent transportation, new energy, etc. Different data-driven methods have been proposed for process monitoring, fault diagnosis, control, and optimization, resulting in significant improvements in the efficiency and safety level of modern society. However, there are still challenges that need to be addressed, such as the need for more advanced algorithms to achieve better performance and reliability.
This special session aims to explore the latest advances in machine learning and deep learning algorithms and their applications in industrial systems. The focus will be on complex system process monitoring, lifespan prediction, predictive maintenance, intelligent optimization, and related topics, with the objective of promoting the intelligent and efficient development of modern industrial systems. We encourage researchers to submit original research results covering theoretical developments, practical implementations, experiments, and applications in these fields.

Submission:
We invite researchers to submit their innovative research results in this field via Online Submission System and choose Special Session IV： "Advances in Machine Learning and Deep Learning: Algorithms, Theory, and Applications in Modern Industrial Systems".